A global optimization for sustainable multi-domain global manufacturing

被引:14
作者
Kristianto, Yohanes [1 ]
Gunasekaran, Angappa [2 ]
机构
[1] Univ Vaasa, Dept Prod, Vaasa, Finland
[2] Univ Massachusetts, Dept Decis & Informat Sci, Charlton Coll Business, N Dartmouth, MA USA
基金
芬兰科学院;
关键词
Global manufacturing; Multiperiod optimization; Mathematical programming; RESEARCH-AND-DEVELOPMENT; SUPPLY CHAIN MANAGEMENT; DECISIONS; DESIGN; MODEL; IMPLEMENTATION; UNCERTAINTY; ALGORITHM; RISKS;
D O I
10.1016/j.cor.2015.12.001
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A multi-period and domain nonlinear optimization model is developed in this article. The model incorporates the design of forward-reverse manufacturing networks topology, product platform and operation capacity planning. The model takes into account the lead times and costs for each period of planning and is formulated as mixed integer nonlinear programming (MINLP). A two stages branch and bound (B-B) with cutting planes and under-estimators is proposed, which exploits the problem structure by solving problem relaxation at the first stage upper bound (UB) and generates cutting planes and under-estimators at the second stage lower bound (LB). The application in a three-echelon forward-reverse global manufacturing network shows that the proposed algorithm is capable of efficiently handling large scale and non-convex problem formulation in order to achieve a global optimum. Some important results from the model are presented in terms of their impacts on the sustainability of global manufacturing. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:307 / 323
页数:17
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